A wavelet-based algorithm without a priori knowledge of noise level for gross errors detection

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Authors

This paper deals with Gross Error Detection using a signal-based approach and proposes an algorithm to be applied in industrial processes. The developed algorithm is used in some industrial software platforms to detect sensor outliers. A validation of this algorithm through computer simulations is shown. At the end of the paper, results using real sensor measurements from industrial processes are presented.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems
EditorsFord Lumban Gaol, Zenon Chaczko, Kiyota Hashimoto, Tokoro Matsuo, William Grosky
Number of pages8
Place of PublicationSouthampton (UK)
PublisherWIT Press
Publication date2014
Pages9-16
ISBN (print)978-184564869-5
ISBN (electronic)978-1-84564-870-1
DOIs
Publication statusPublished - 2014

Bibliographical note

Extended paper from the International Conference on Advances in Intelligent Systems in Bioinformatics (2013), Atlantis Press.

    Research areas

  • Engineering - Fault detection, Industrial applications, Wavelets

DOI